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Steil JJ, Ritter H.  1999.  Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation. Proc. European Symposium Artificial Neural Networks. :369–374.
Steil JJ.  2005.  Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning. LNCS. 3697:649–654.
Ritter H, Steil JJ, Sagerer G.  2010.  Mit Kopf, Körper und Hand: Herausforderungen Humanoider Roboter. Automatisierungstechnik, special issue on "humnoid robotics". 58:630–638.
Seidel D, Emmerich C, Steil JJ.  2014.  Model-free Path Planning for Redundant Robots using Sparse Data from Kinesthetic Teaching. Proc. of the Int. Conference on Intelligent Robots and Systems (IROS). :4381–4388.
Nordmann A, Wrede S, Steil JJ.  2015.  Modeling of Movement Control Architectures based on Motion Primitives using Domain-Specific Languages.
Aswolinskiy W, Reinhart F, Steil JJ.  2016.  Modelling of Parameterized Processes via Regression in the Model Space. Proceedings of 24th European Symposium on Artificial Neural Networks. :53–58.
Aswolinskiy W, Reinhart F, Steil JJ.  2017.  Modelling of Parametrized Processes via Regression in the Model Space of Neural Networks. Neurocomputing. 268(C):55-63.
Wrede S, Wojtynek M, Steil JJ, Beyer O, Frobieter C, Franke V.  2016.  Modulare Fertigungslinien für die individualisierte Produktion. Werkstattstechnik online.
Lemme A, Meirovitch Y, Khansari-Zadeh SMohammad, Flash T, Billard A, Steil JJ.  2014.  Multi-criteria benchmarking of movement generating dynamical systems for learning-from-demonstrations.
Emmerich C, Reinhart F, Steil JJ.  2013.  Multi-directional Continuous Association with Input-driven Neural Dynamics. Neurocomputing (Special Issue ESANN 2012). 112:47–57.
Rolf M, Neumann K, Queißer J, Reinhart F, Nordmann A, Steil JJ.  2015.  A Multi-Level Control Architecture for the Bionic Handling Assistant. Advanced Robotics. 29:847–859.
McGuire PC, Fritsch J, Ritter H, Steil JJ, Röthling F, Fink GA, Wachsmuth S, Sagerer G.  2002.  Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks. Proc. Int. Conf. Intelligent Robotis and Systems. :1082–1089.
Dehio N, Reinhart F, Steil JJ.  2015.  Multiple Task Optimization with a Mixture of Controllers for Motion Generation. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). :6416–6421.
Ritter H, Steil JJ, Nölker C, Röthling F, McGuire PC.  2003.  Neural Architectures for Robotic Intelligence. Reviews in the Neurosciences. 14:121–143.
Steffen JFrederik, Pardowitz M, Steil JJ, Ritter H.  2010.  Neural competition for motion segmentation. 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). :59–64.
Steil JJ.  2004.  Neural Dynamics for Task-Oriented Grouping of Communicating Agents. Proc. European Symposium Artificial Neural Networks. :531–536.
Reinhart F, Steil JJ.  2011.  Neural learning and dynamical selection of redundant solutions for inverse kinematic control. Proc. IEEE Int. Conf. Humanoid Robots. :564–569.
Neumann K, Lemme A, Steil JJ.  2013.  Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates. :1216–1222.
Lemme A, Reinhart F, Neumann K, Steil JJ.  2014.  Neural Learning of Vector Fields for Encoding Stable Dynamical Systems. Neurocomputing. 141:3–14.
Lebedev DV, Steil JJ, Ritter H.  2003.  A Neural Network Model that Calculates Dynamic Distance Transform for Path Planning and Exploration in a Changing Environment. Proc. IEEE Int. Conf. on Robotics and Automation. :4209–4214.
Lemme A, Neumann K, Reinhart F, Steil JJ.  2013.  Neurally imprinted stable vector fields. :327–332.
Lebedev DV, Steil JJ, Ritter H.  2002.  A New Wave Neural Network Dynamics for Planning Safe Paths of Autonomous Objects in a Dynamically Changing World. Advances in Neural Networks World. :141–146.